Headline

Applied AI Engineer @ SaaS Labs | ex-Founder | BITS Pilani

About

Co-founded a health tech startup. Spent 2 years building the product — designed the UI, wrote the backend, trained ML models for exercise detection. Got to 500 users. It was not enough. That experience taught me more about building products than any job ever could. When you are building from scratch at a tiny startup, you learn fast or you fail fast. I did both. Now I am a founding engineer at SalesMonk, building AI agents that handle the entire outbound sales workflow: prospecting, outreach, qualification, follow-ups. The model call is the easy part. The retry logic, OAuth integrations, and edge case handling is 90% of the work. What I write about here: - Building startups from 0 to 1 (the real version, not the highlight reel) - AI agents in production, not demos - Engineering decisions that actually move the needle - Lessons from failing and starting again Previously: Software Engineer building hedge fund and crypto fund automation. BITS Pilani grad. DM me if you are building something interesting.

Location

Noida

AI stack

antigravity

opencode

Work experience

Applied AI Engineer at SaaS Labs, Jul 2026 - Present · 2 mos, Noida, Uttar Pradesh, India

Founding AI Engineer at SalesMonk.ai, Jan 2023 - Apr 2026 · 3 yrs 4 mos, San Francisco Bay Area, First engineer. Built the product from scratch. SalesMonk automates outbound sales end-to-end: prospecting, multichannel outreach (email, LinkedIn, calls), lead qualification, and CRM sync. I own the full stack. What I built: - AI sales agents that autonomously identify, engage, and qualify leads across channels - Chat widget that deanonymizes website visitors and triggers automated outreach to high-intent prospects - Deep HubSpot and Salesforce integrations for real-time pipeline tracking - Inbound-to-outbound conversion workflows that turn website interest into automated sales sequences Stack: Next.js, NestJS, Prisma, Supabase, PostgreSQL, Vercel. LLM orchestration with RAG pipelines and Slack-based agent interfaces.

Co-Founder at Evolv Fit, Oct 2021 - Jan 2023 · 1 yr 4 mos, Delhi, India, Co-founded and built the product from scratch: design, engineering, ML. EvolvFit was a platform for fitness coaches to manage clients, deliver personalized workout plans, and track progress. Think Trainerize but built for the Indian market. What I built: - Full platform across web (React), iOS and Android (React Native) with AWS backend - ML-powered exercise detection using TensorFlow.js for real-time rep counting from phone cameras - Coach dashboard with client management, program builder, and progress analytics - Onboarded 10+ coaches and 500+ active users Got to product-market signal but not product-market fit. Shut it down after 16 months. Learned more from this than any job.

Software Engineer at NAV Fund Administration Group, Aug 2020 - Oct 2021 · 1 yr 3 mos, Rajasthan, India, Built internal tools for hedge fund administration and crypto fund operations. What I worked on: - Web application (React + Python) used by the accounts team to manage 200+ hedge funds - RESTful APIs integrating with multiple crypto exchange platforms for automated data retrieval - Optimized SQL queries and Python scripts for financial data processing, improving system reliability and accuracy

Business Analyst Intern at Swiggy, Jul 2019 - Dec 2019 · 6 mos, Bengaluru, Karnataka, India, Worked on Swiggy's international expansion strategy and domestic city launch optimization. - Analyzed demographic, regulatory, and unit economics data across 30+ countries to identify high-potential markets for global expansion - Built a city launch model that optimized sequencing for the next 100 domestic cities, reducing per-city launch costs by 60K INR - Ran pilot launches across 15 cities, validating the model against real delivery logistics and demand data

Education

Bachelor of Engineering, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/prateekjain98